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创新的长期监测策略支持监管合规、最终状态修复以及美国能源部复杂地下水污染羽流的关闭.pdf

上传人: 可*** 编号:991664 2025-12-07 38页 2.26MB

1、Managed and operated by Battelle Savannah River Alliance,LLC for the U.S.Department of Energy.Innovative Long Term Monitoring Strategy Supporting Regulatory Compliance,End-State Remediation,and Closure of DOEs Complex Groundwater PlumesCarol Eddy-Dilek and Tom Danielson,SRNL;and Haruko Wainwright,MI

2、T/LBNLJune 12,2025SRNL-STI-2025-00308ALTEMIS-Advanced Long-Term Monitoring of Environmental of DOEs Legacy Sites Remediation of DOE EMs remaining complex plumes will take decades GAO estimates that EMs liability for environmental cleanup across the country will exceed$550 billion Long term monitorin

3、g after sites have been cleaned up is a large component of that liability DOE-EM Technology Office is sponsoring SRNL-led program since 2020 Multi-lab and multi-agency team:SRNL,SRS-ACP,LBNL,PNNL,UC Berkeley,FIU/CRESP/MSIPPALTEMIS-Advanced Long-Term Environmental Monitoring Systems2Groundwater Plume

4、s:Evolving Complex Geochemical Systems Groundwater plumes can be considered as complex geochemical systems Monitoring of DOEs plumes has been ongoing for 30+years As plume evolves to background levels,what changes can be anticipated Will changes in groundwater levels impact migration of the plume?Wh

5、ere will residual contaminants that are attenuated be located?Will attenuated contaminants be released at significant levels as the plume chemistry evolves?Will degradation of physical barriers cause a remobilization of previously attenuated contaminants?Other changes that deviate from baseline conc

6、eptual model Altemis F-area Testbed Remedial History4 Phased Remedial Strategy Source Zone Isolation,Active Remediation,Enhanced Attenuation Enhanced attenuation strategies have improved remediation of low concentration plumes but have created the potential for creation of secondary source terms(e.g

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根据报告的内容,全文主要围绕美国能源部(DOE)遗留场地地下水污染羽的长期监测策略展开。以下是关键点: 1. **长期监测的重要性**:DOE的遗留场地污染羽修复需数十年,长期监测是环境清理责任的重要组成部分。 2. **ALTEMIS项目**:自2020年起,DOE-EM技术办公室资助SRNL领导的ALTEMIS项目,旨在开发先进的长期环境监测系统。 3. **监测挑战**:地下水污染羽是复杂的地球化学系统,监测需考虑地下水化学和物理过程的变化。 4. **ALTEMIS方法**:识别现场可测变量作为污染物测量的替代指标,使用机器学习预测时空浓度变化。 5. **传感器网络**:在“脆弱区域”使用多种监测方法,优化传感器位置,监测关键变量如pH和水位。 6. **AI/ML应用**:利用机器学习优化监测,自动化数据处理和预测,以及异常检测。 7. **挑战与未来**:处理数据质量、地理物理化学因素、时空覆盖不足等挑战,并将ALTEMIS应用于其他场地。
AI助力未来" AI如何守护环境安全?" "AI/ML在地下水修复中的应用前景"
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